Grants and Contributions
About this information
In June 2016, as part of the Open Government Action Plan, the Treasury Board of Canada Secretariat (TBS) committed to increasing the transparency and usefulness of grants and contribution data and subsequently launched the Guidelines on the Reporting of Grants and Contributions Awards, effective April 1, 2018.
The rules and principles governing government grants and contributions are outlined in the Treasury Board Policy on Transfer Payments. Transfer payments are transfers of money, goods, services or assets made from an appropriation to individuals, organizations or other levels of government, without the federal government directly receiving goods or services in return, but which may require the recipient to provide a report or other information subsequent to receiving payment. These expenditures are reported in the Public Accounts of Canada. The major types of transfer payments are grants, contributions and \'other transfer payments\'.
Included in this category, but not to be reported under proactive disclosure of awards, are (1) transfers to other levels of government such as Equalization payments as well as Canada Health and Social Transfer payments. (2) Grants and contributions reallocated or otherwise redistributed by the recipient to third parties; and (3) information that would normally be withheld under the Access to Information Act and the Privacy Act.
$15,000.00
Mar 15, 2024
For-profit organization
Develop digital adoption plan
$15,000.00
Mar 15, 2024
For-profit organization
Develop digital adoption plan
$15,000.00
Mar 15, 2024
For-profit organization
Develop digital adoption plan
$15,000.00
Mar 15, 2024
For-profit organization
Develop digital adoption plan
$15,000.00
Mar 15, 2024
For-profit organization
Develop digital adoption plan
$15,000.00
Mar 15, 2024
For-profit organization
Develop digital adoption plan
$312,000.00
Mar 15, 2024
Academia
Fine Resolution Classification of Sea Ice Based on Feature Selection from
RADARSAT Constellation Mission - Research Opportunities in Satellite Earth Observation
24AO3DAL03
The project aims to develop machine learning-based methods for automatic estimation of Arctic ice concentration, classification of sea ice types, and monitoring of pack ice leads in the Arctic Ocean, focusing on regions like the Beaufort Sea and Canadian Arctic waters. By utilizing synthetic aperture radar (SAR) data from satellites such as RADARSAT Constellation Mission (RCM) and RADARSAT-2, along with future NISAR observations, the project aims to provide the Canadian Ice Service (CIS) with improved operational ice charts, enhancing marine nowcasts and forecasts in the Canadian Arctic without manual intervention.
$309,623.00
Mar 15, 2024
Academia
AI-Driven, adjacency-effect corrections for improved remote sensing of Inland Lakes
24AO3SHE17
The objective of this project is to develop an AI-based algorithm that can improve atmospheric correction of satellite images over Canadian lakes. This will address current inaccuracies that hinder monitoring efforts, which are crucial for various aspects of Canadian life. The project aims to create a hyperspectral algorithm for accurate atmospheric correction by collecting in situ data and using advanced modeling techniques.
$312,500.00
Mar 15, 2024
Academia
The joint Copernicus Expansion Missions Sea Ice Experiment (CEMSIE)
24AO3CAL29
The Copernicus Expansion Missions Sea Ice Experiment (CEMSIE) project, led by a consortium of Canadian and European universities, with support from the European Space Agency (ESA), aims to enhance satellite monitoring of Arctic sea ice.
$38,829.00
Mar 15, 2024
Academia
Remote predictive mapping of eskers
24AO3SFU12
This project aims to enhance understanding of Canada's surficial geology by developing an automated method using remote satellite imagery to map landforms like eskers and estimate their composition. By integrating machine learning and morphometric analysis, the project seeks to streamline natural resource projects, particularly those reliant on gravel from eskers, by providing precise remote estimates of aggregate deposits, benefiting infrastructure development initiatives.